Dataset statistics
| Number of variables | 21 |
|---|---|
| Number of observations | 31781 |
| Missing cells | 0 |
| Missing cells (%) | 0.0% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 23.3 MiB |
| Average record size in memory | 770.4 B |
Variable types
| Numeric | 10 |
|---|---|
| Categorical | 10 |
| Boolean | 1 |
pdays is highly correlated with previous | High correlation |
previous is highly correlated with pdays and 1 other fields | High correlation |
emp.var.rate is highly correlated with cons.price.idx and 2 other fields | High correlation |
cons.price.idx is highly correlated with emp.var.rate and 2 other fields | High correlation |
euribor3m is highly correlated with emp.var.rate and 2 other fields | High correlation |
nr.employed is highly correlated with previous and 3 other fields | High correlation |
pdays is highly correlated with previous | High correlation |
previous is highly correlated with pdays | High correlation |
emp.var.rate is highly correlated with cons.price.idx and 2 other fields | High correlation |
cons.price.idx is highly correlated with emp.var.rate | High correlation |
euribor3m is highly correlated with emp.var.rate and 1 other fields | High correlation |
nr.employed is highly correlated with emp.var.rate and 1 other fields | High correlation |
emp.var.rate is highly correlated with cons.price.idx and 2 other fields | High correlation |
cons.price.idx is highly correlated with emp.var.rate | High correlation |
euribor3m is highly correlated with emp.var.rate and 1 other fields | High correlation |
nr.employed is highly correlated with emp.var.rate and 1 other fields | High correlation |
education is highly correlated with job | High correlation |
poutcome is highly correlated with pdays and 6 other fields | High correlation |
loan is highly correlated with housing | High correlation |
pdays is highly correlated with poutcome and 4 other fields | High correlation |
cons.conf.idx is highly correlated with poutcome and 7 other fields | High correlation |
housing is highly correlated with loan | High correlation |
contact is highly correlated with cons.conf.idx and 5 other fields | High correlation |
month is highly correlated with cons.conf.idx and 5 other fields | High correlation |
emp.var.rate is highly correlated with poutcome and 6 other fields | High correlation |
job is highly correlated with education and 1 other fields | High correlation |
cons.price.idx is highly correlated with poutcome and 6 other fields | High correlation |
previous is highly correlated with poutcome and 1 other fields | High correlation |
euribor3m is highly correlated with poutcome and 8 other fields | High correlation |
nr.employed is highly correlated with poutcome and 8 other fields | High correlation |
y is highly correlated with euribor3m and 1 other fields | High correlation |
age is highly correlated with job | High correlation |
loan is highly correlated with housing | High correlation |
housing is highly correlated with loan | High correlation |
contact is highly correlated with month | High correlation |
month is highly correlated with contact | High correlation |
df_index has unique values | Unique |
previous has 27268 (85.8%) zeros | Zeros |
Reproduction
| Analysis started | 2021-07-01 01:36:40.128079 |
|---|---|
| Analysis finished | 2021-07-01 01:37:07.820111 |
| Duration | 27.69 seconds |
| Software version | pandas-profiling v3.0.0 |
| Download configuration | config.json |
| Distinct | 31781 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 16281.02316 |
| Minimum | 0 |
|---|---|
| Maximum | 32949 |
| Zeros | 1 |
| Zeros (%) | < 0.1% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 248.4 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 1590 |
| Q1 | 8020 |
| median | 16179 |
| Q3 | 24501 |
| 95-th percentile | 31250 |
| Maximum | 32949 |
| Range | 32949 |
| Interquartile range (IQR) | 16481 |
Descriptive statistics
| Standard deviation | 9514.128669 |
|---|---|
| Coefficient of variation (CV) | 0.5843692117 |
| Kurtosis | -1.200075496 |
| Mean | 16281.02316 |
| Median Absolute Deviation (MAD) | 8236 |
| Skewness | 0.02410467435 |
| Sum | 517427197 |
| Variance | 90518644.34 |
| Monotonicity | Strictly increasing |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 2047 | 1 | < 0.1% |
| 25926 | 1 | < 0.1% |
| 5416 | 1 | < 0.1% |
| 7465 | 1 | < 0.1% |
| 1322 | 1 | < 0.1% |
| 3371 | 1 | < 0.1% |
| 13612 | 1 | < 0.1% |
| 15661 | 1 | < 0.1% |
| 9518 | 1 | < 0.1% |
| 11567 | 1 | < 0.1% |
| Other values (31771) | 31771 |
| Value | Count | Frequency (%) |
| 0 | 1 | |
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 1 |
| Value | Count | Frequency (%) |
| 32949 | 1 | |
| 32948 | 1 | |
| 32947 | 1 | |
| 32946 | 1 | |
| 32944 | 1 | |
| 32943 | 1 | |
| 32942 | 1 | |
| 32941 | 1 | |
| 32940 | 1 | |
| 32939 | 1 |
| Distinct | 76 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 40.11510022 |
| Minimum | 17 |
|---|---|
| Maximum | 98 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 248.4 KiB |
Quantile statistics
| Minimum | 17 |
|---|---|
| 5-th percentile | 26 |
| Q1 | 32 |
| median | 38 |
| Q3 | 47 |
| 95-th percentile | 58 |
| Maximum | 98 |
| Range | 81 |
| Interquartile range (IQR) | 15 |
Descriptive statistics
| Standard deviation | 10.44031097 |
|---|---|
| Coefficient of variation (CV) | 0.260258878 |
| Kurtosis | 0.7383695914 |
| Mean | 40.11510022 |
| Median Absolute Deviation (MAD) | 7 |
| Skewness | 0.768297312 |
| Sum | 1274898 |
| Variance | 109.0000932 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 31 | 1472 | 4.6% |
| 33 | 1437 | 4.5% |
| 32 | 1412 | 4.4% |
| 35 | 1364 | 4.3% |
| 36 | 1338 | 4.2% |
| 34 | 1317 | 4.1% |
| 30 | 1303 | 4.1% |
| 37 | 1147 | 3.6% |
| 39 | 1126 | 3.5% |
| 29 | 1099 | 3.5% |
| Other values (66) | 18766 |
| Value | Count | Frequency (%) |
| 17 | 3 | < 0.1% |
| 18 | 23 | 0.1% |
| 19 | 36 | 0.1% |
| 20 | 49 | 0.2% |
| 21 | 81 | 0.3% |
| 22 | 104 | 0.3% |
| 23 | 167 | 0.5% |
| 24 | 343 | |
| 25 | 476 | |
| 26 | 545 |
| Value | Count | Frequency (%) |
| 98 | 1 | < 0.1% |
| 94 | 1 | < 0.1% |
| 92 | 4 | < 0.1% |
| 91 | 2 | < 0.1% |
| 89 | 1 | < 0.1% |
| 88 | 16 | |
| 86 | 7 | |
| 85 | 13 | |
| 84 | 6 | < 0.1% |
| 83 | 13 |
| Distinct | 12 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 2.0 MiB |
| admin. | |
|---|---|
| blue-collar | |
| technician | |
| services | |
| management | |
| Other values (7) |
Length
| Max length | 13 |
|---|---|
| Median length | 10 |
| Mean length | 8.954532582 |
| Min length | 6 |
Characters and Unicode
| Total characters | 284584 |
|---|---|
| Distinct characters | 24 |
| Distinct categories | 3 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | technician |
|---|---|
| 2nd row | services |
| 3rd row | retired |
| 4th row | blue-collar |
| 5th row | technician |
Common Values
| Value | Count | Frequency (%) |
| admin. | 8045 | |
| blue-collar | 7097 | |
| technician | 5122 | |
| services | 3065 | 9.6% |
| management | 2285 | 7.2% |
| retired | 1341 | 4.2% |
| entrepreneur | 1131 | 3.6% |
| self-employed | 1128 | 3.5% |
| unemployed | 817 | 2.6% |
| housemaid | 807 | 2.5% |
| Other values (2) | 943 | 3.0% |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| admin | 8045 | |
| blue-collar | 7097 | |
| technician | 5122 | |
| services | 3065 | 9.6% |
| management | 2285 | 7.2% |
| retired | 1341 | 4.2% |
| entrepreneur | 1131 | 3.6% |
| self-employed | 1128 | 3.5% |
| unemployed | 817 | 2.6% |
| housemaid | 807 | 2.5% |
| Other values (2) | 943 | 3.0% |
Most occurring characters
| Value | Count | Frequency (%) |
| e | 36645 | |
| n | 27377 | 9.6% |
| a | 25641 | 9.0% |
| l | 24364 | 8.6% |
| i | 23502 | 8.3% |
| c | 20406 | 7.2% |
| r | 16237 | 5.7% |
| m | 15367 | 5.4% |
| d | 12833 | 4.5% |
| t | 11269 | 4.0% |
| Other values (14) | 70943 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 268314 | |
| Dash Punctuation | 8225 | 2.9% |
| Other Punctuation | 8045 | 2.8% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| e | 36645 | |
| n | 27377 | |
| a | 25641 | |
| l | 24364 | |
| i | 23502 | |
| c | 20406 | 7.6% |
| r | 16237 | 6.1% |
| m | 15367 | 5.7% |
| d | 12833 | 4.8% |
| t | 11269 | 4.2% |
| Other values (12) | 54673 |
Dash Punctuation
| Value | Count | Frequency (%) |
| - | 8225 |
Other Punctuation
| Value | Count | Frequency (%) |
| . | 8045 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 268314 | |
| Common | 16270 | 5.7% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| e | 36645 | |
| n | 27377 | |
| a | 25641 | |
| l | 24364 | |
| i | 23502 | |
| c | 20406 | 7.6% |
| r | 16237 | 6.1% |
| m | 15367 | 5.7% |
| d | 12833 | 4.8% |
| t | 11269 | 4.2% |
| Other values (12) | 54673 |
Common
| Value | Count | Frequency (%) |
| - | 8225 | |
| . | 8045 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 284584 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| e | 36645 | |
| n | 27377 | 9.6% |
| a | 25641 | 9.0% |
| l | 24364 | 8.6% |
| i | 23502 | 8.3% |
| c | 20406 | 7.2% |
| r | 16237 | 5.7% |
| m | 15367 | 5.4% |
| d | 12833 | 4.5% |
| t | 11269 | 4.0% |
| Other values (14) | 70943 |
marital
Categorical
| Distinct | 4 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 1.9 MiB |
| married | |
|---|---|
| single | |
| divorced | |
| unknown | 62 |
Length
| Max length | 8 |
|---|---|
| Median length | 7 |
| Mean length | 6.833296624 |
| Min length | 6 |
Characters and Unicode
| Total characters | 217169 |
|---|---|
| Distinct characters | 16 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | married |
|---|---|
| 2nd row | single |
| 3rd row | married |
| 4th row | married |
| 5th row | married |
Common Values
| Value | Count | Frequency (%) |
| married | 19255 | |
| single | 8881 | |
| divorced | 3583 | 11.3% |
| unknown | 62 | 0.2% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| married | 19255 | |
| single | 8881 | |
| divorced | 3583 | 11.3% |
| unknown | 62 | 0.2% |
Most occurring characters
| Value | Count | Frequency (%) |
| r | 42093 | |
| i | 31719 | |
| e | 31719 | |
| d | 26421 | |
| m | 19255 | |
| a | 19255 | |
| n | 9067 | 4.2% |
| s | 8881 | 4.1% |
| g | 8881 | 4.1% |
| l | 8881 | 4.1% |
| Other values (6) | 10997 | 5.1% |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 217169 |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| r | 42093 | |
| i | 31719 | |
| e | 31719 | |
| d | 26421 | |
| m | 19255 | |
| a | 19255 | |
| n | 9067 | 4.2% |
| s | 8881 | 4.1% |
| g | 8881 | 4.1% |
| l | 8881 | 4.1% |
| Other values (6) | 10997 | 5.1% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 217169 |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| r | 42093 | |
| i | 31719 | |
| e | 31719 | |
| d | 26421 | |
| m | 19255 | |
| a | 19255 | |
| n | 9067 | 4.2% |
| s | 8881 | 4.1% |
| g | 8881 | 4.1% |
| l | 8881 | 4.1% |
| Other values (6) | 10997 | 5.1% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 217169 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| r | 42093 | |
| i | 31719 | |
| e | 31719 | |
| d | 26421 | |
| m | 19255 | |
| a | 19255 | |
| n | 9067 | 4.2% |
| s | 8881 | 4.1% |
| g | 8881 | 4.1% |
| l | 8881 | 4.1% |
| Other values (6) | 10997 | 5.1% |
| Distinct | 8 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 2.1 MiB |
| university.degree | |
|---|---|
| high.school | |
| basic.9y | |
| professional.course | |
| basic.4y | |
| Other values (3) |
Length
| Max length | 19 |
|---|---|
| Median length | 11 |
| Mean length | 12.70148831 |
| Min length | 7 |
Characters and Unicode
| Total characters | 403666 |
|---|---|
| Distinct characters | 25 |
| Distinct categories | 3 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | basic.9y |
|---|---|
| 2nd row | high.school |
| 3rd row | unknown |
| 4th row | basic.9y |
| 5th row | university.degree |
Common Values
| Value | Count | Frequency (%) |
| university.degree | 9391 | |
| high.school | 7317 | |
| basic.9y | 4672 | |
| professional.course | 4025 | |
| basic.4y | 3200 | 10.1% |
| basic.6y | 1813 | 5.7% |
| unknown | 1351 | 4.3% |
| illiterate | 12 | < 0.1% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| university.degree | 9391 | |
| high.school | 7317 | |
| basic.9y | 4672 | |
| professional.course | 4025 | |
| basic.4y | 3200 | 10.1% |
| basic.6y | 1813 | 5.7% |
| unknown | 1351 | 4.3% |
| illiterate | 12 | < 0.1% |
Most occurring characters
| Value | Count | Frequency (%) |
| e | 45638 | 11.3% |
| i | 39833 | 9.9% |
| s | 38468 | 9.5% |
| . | 30418 | 7.5% |
| o | 28060 | 7.0% |
| r | 26844 | 6.7% |
| h | 21951 | 5.4% |
| c | 21027 | 5.2% |
| y | 19076 | 4.7% |
| n | 17469 | 4.3% |
| Other values (15) | 114882 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 363563 | |
| Other Punctuation | 30418 | 7.5% |
| Decimal Number | 9685 | 2.4% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| e | 45638 | |
| i | 39833 | |
| s | 38468 | |
| o | 28060 | 7.7% |
| r | 26844 | 7.4% |
| h | 21951 | 6.0% |
| c | 21027 | 5.8% |
| y | 19076 | 5.2% |
| n | 17469 | 4.8% |
| g | 16708 | 4.6% |
| Other values (11) | 88489 |
Decimal Number
| Value | Count | Frequency (%) |
| 9 | 4672 | |
| 4 | 3200 | |
| 6 | 1813 | 18.7% |
Other Punctuation
| Value | Count | Frequency (%) |
| . | 30418 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 363563 | |
| Common | 40103 | 9.9% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| e | 45638 | |
| i | 39833 | |
| s | 38468 | |
| o | 28060 | 7.7% |
| r | 26844 | 7.4% |
| h | 21951 | 6.0% |
| c | 21027 | 5.8% |
| y | 19076 | 5.2% |
| n | 17469 | 4.8% |
| g | 16708 | 4.6% |
| Other values (11) | 88489 |
Common
| Value | Count | Frequency (%) |
| . | 30418 | |
| 9 | 4672 | 11.7% |
| 4 | 3200 | 8.0% |
| 6 | 1813 | 4.5% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 403666 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| e | 45638 | 11.3% |
| i | 39833 | 9.9% |
| s | 38468 | 9.5% |
| . | 30418 | 7.5% |
| o | 28060 | 7.0% |
| r | 26844 | 6.7% |
| h | 21951 | 5.4% |
| c | 21027 | 5.2% |
| y | 19076 | 4.7% |
| n | 17469 | 4.3% |
| Other values (15) | 114882 |
default
Categorical
| Distinct | 3 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 1.8 MiB |
| no | |
|---|---|
| unknown | |
| yes | 3 |
Length
| Max length | 7 |
|---|---|
| Median length | 2 |
| Mean length | 3.035461439 |
| Min length | 2 |
Characters and Unicode
| Total characters | 96470 |
|---|---|
| Distinct characters | 8 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | no |
|---|---|
| 2nd row | unknown |
| 3rd row | no |
| 4th row | unknown |
| 5th row | no |
Common Values
| Value | Count | Frequency (%) |
| no | 25197 | |
| unknown | 6581 | 20.7% |
| yes | 3 | < 0.1% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| no | 25197 | |
| unknown | 6581 | 20.7% |
| yes | 3 | < 0.1% |
Most occurring characters
| Value | Count | Frequency (%) |
| n | 44940 | |
| o | 31778 | |
| u | 6581 | 6.8% |
| k | 6581 | 6.8% |
| w | 6581 | 6.8% |
| y | 3 | < 0.1% |
| e | 3 | < 0.1% |
| s | 3 | < 0.1% |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 96470 |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| n | 44940 | |
| o | 31778 | |
| u | 6581 | 6.8% |
| k | 6581 | 6.8% |
| w | 6581 | 6.8% |
| y | 3 | < 0.1% |
| e | 3 | < 0.1% |
| s | 3 | < 0.1% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 96470 |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| n | 44940 | |
| o | 31778 | |
| u | 6581 | 6.8% |
| k | 6581 | 6.8% |
| w | 6581 | 6.8% |
| y | 3 | < 0.1% |
| e | 3 | < 0.1% |
| s | 3 | < 0.1% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 96470 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| n | 44940 | |
| o | 31778 | |
| u | 6581 | 6.8% |
| k | 6581 | 6.8% |
| w | 6581 | 6.8% |
| y | 3 | < 0.1% |
| e | 3 | < 0.1% |
| s | 3 | < 0.1% |
| Distinct | 3 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 1.8 MiB |
| yes | |
|---|---|
| no | |
| unknown | 781 |
Length
| Max length | 7 |
|---|---|
| Median length | 3 |
| Mean length | 2.646298103 |
| Min length | 2 |
Characters and Unicode
| Total characters | 84102 |
|---|---|
| Distinct characters | 8 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | no |
|---|---|
| 2nd row | yes |
| 3rd row | yes |
| 4th row | yes |
| 5th row | no |
Common Values
| Value | Count | Frequency (%) |
| yes | 16635 | |
| no | 14365 | |
| unknown | 781 | 2.5% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| yes | 16635 | |
| no | 14365 | |
| unknown | 781 | 2.5% |
Most occurring characters
| Value | Count | Frequency (%) |
| n | 16708 | |
| y | 16635 | |
| e | 16635 | |
| s | 16635 | |
| o | 15146 | |
| u | 781 | 0.9% |
| k | 781 | 0.9% |
| w | 781 | 0.9% |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 84102 |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| n | 16708 | |
| y | 16635 | |
| e | 16635 | |
| s | 16635 | |
| o | 15146 | |
| u | 781 | 0.9% |
| k | 781 | 0.9% |
| w | 781 | 0.9% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 84102 |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| n | 16708 | |
| y | 16635 | |
| e | 16635 | |
| s | 16635 | |
| o | 15146 | |
| u | 781 | 0.9% |
| k | 781 | 0.9% |
| w | 781 | 0.9% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 84102 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| n | 16708 | |
| y | 16635 | |
| e | 16635 | |
| s | 16635 | |
| o | 15146 | |
| u | 781 | 0.9% |
| k | 781 | 0.9% |
| w | 781 | 0.9% |
| Distinct | 3 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 1.8 MiB |
| no | |
|---|---|
| yes | |
| unknown | 781 |
Length
| Max length | 7 |
|---|---|
| Median length | 2 |
| Mean length | 2.279915673 |
| Min length | 2 |
Characters and Unicode
| Total characters | 72458 |
|---|---|
| Distinct characters | 8 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | no |
|---|---|
| 2nd row | no |
| 3rd row | no |
| 4th row | no |
| 5th row | no |
Common Values
| Value | Count | Frequency (%) |
| no | 26009 | |
| yes | 4991 | 15.7% |
| unknown | 781 | 2.5% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| no | 26009 | |
| yes | 4991 | 15.7% |
| unknown | 781 | 2.5% |
Most occurring characters
| Value | Count | Frequency (%) |
| n | 28352 | |
| o | 26790 | |
| y | 4991 | 6.9% |
| e | 4991 | 6.9% |
| s | 4991 | 6.9% |
| u | 781 | 1.1% |
| k | 781 | 1.1% |
| w | 781 | 1.1% |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 72458 |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| n | 28352 | |
| o | 26790 | |
| y | 4991 | 6.9% |
| e | 4991 | 6.9% |
| s | 4991 | 6.9% |
| u | 781 | 1.1% |
| k | 781 | 1.1% |
| w | 781 | 1.1% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 72458 |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| n | 28352 | |
| o | 26790 | |
| y | 4991 | 6.9% |
| e | 4991 | 6.9% |
| s | 4991 | 6.9% |
| u | 781 | 1.1% |
| k | 781 | 1.1% |
| w | 781 | 1.1% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 72458 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| n | 28352 | |
| o | 26790 | |
| y | 4991 | 6.9% |
| e | 4991 | 6.9% |
| s | 4991 | 6.9% |
| u | 781 | 1.1% |
| k | 781 | 1.1% |
| w | 781 | 1.1% |
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 2.0 MiB |
| cellular | |
|---|---|
| telephone |
Length
| Max length | 9 |
|---|---|
| Median length | 8 |
| Mean length | 8.37192033 |
| Min length | 8 |
Characters and Unicode
| Total characters | 266068 |
|---|---|
| Distinct characters | 11 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | telephone |
|---|---|
| 2nd row | telephone |
| 3rd row | telephone |
| 4th row | cellular |
| 5th row | cellular |
Common Values
| Value | Count | Frequency (%) |
| cellular | 19961 | |
| telephone | 11820 |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| cellular | 19961 | |
| telephone | 11820 |
Most occurring characters
| Value | Count | Frequency (%) |
| l | 71703 | |
| e | 55421 | |
| c | 19961 | 7.5% |
| u | 19961 | 7.5% |
| a | 19961 | 7.5% |
| r | 19961 | 7.5% |
| t | 11820 | 4.4% |
| p | 11820 | 4.4% |
| h | 11820 | 4.4% |
| o | 11820 | 4.4% |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 266068 |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| l | 71703 | |
| e | 55421 | |
| c | 19961 | 7.5% |
| u | 19961 | 7.5% |
| a | 19961 | 7.5% |
| r | 19961 | 7.5% |
| t | 11820 | 4.4% |
| p | 11820 | 4.4% |
| h | 11820 | 4.4% |
| o | 11820 | 4.4% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 266068 |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| l | 71703 | |
| e | 55421 | |
| c | 19961 | 7.5% |
| u | 19961 | 7.5% |
| a | 19961 | 7.5% |
| r | 19961 | 7.5% |
| t | 11820 | 4.4% |
| p | 11820 | 4.4% |
| h | 11820 | 4.4% |
| o | 11820 | 4.4% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 266068 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| l | 71703 | |
| e | 55421 | |
| c | 19961 | 7.5% |
| u | 19961 | 7.5% |
| a | 19961 | 7.5% |
| r | 19961 | 7.5% |
| t | 11820 | 4.4% |
| p | 11820 | 4.4% |
| h | 11820 | 4.4% |
| o | 11820 | 4.4% |
| Distinct | 10 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 1.8 MiB |
| may | |
|---|---|
| jul | |
| aug | |
| jun | |
| nov | |
| Other values (5) |
Length
| Max length | 3 |
|---|---|
| Median length | 3 |
| Mean length | 3 |
| Min length | 3 |
Characters and Unicode
| Total characters | 95343 |
|---|---|
| Distinct characters | 17 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | may |
|---|---|
| 2nd row | may |
| 3rd row | apr |
| 4th row | may |
| 5th row | jul |
Common Values
| Value | Count | Frequency (%) |
| may | 10747 | |
| jul | 5430 | |
| aug | 4626 | |
| jun | 4139 | 13.0% |
| nov | 3154 | 9.9% |
| apr | 2070 | 6.5% |
| oct | 588 | 1.9% |
| sep | 464 | 1.5% |
| mar | 412 | 1.3% |
| dec | 151 | 0.5% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| may | 10747 | |
| jul | 5430 | |
| aug | 4626 | |
| jun | 4139 | 13.0% |
| nov | 3154 | 9.9% |
| apr | 2070 | 6.5% |
| oct | 588 | 1.9% |
| sep | 464 | 1.5% |
| mar | 412 | 1.3% |
| dec | 151 | 0.5% |
Most occurring characters
| Value | Count | Frequency (%) |
| a | 17855 | |
| u | 14195 | |
| m | 11159 | |
| y | 10747 | |
| j | 9569 | |
| n | 7293 | |
| l | 5430 | 5.7% |
| g | 4626 | 4.9% |
| o | 3742 | 3.9% |
| v | 3154 | 3.3% |
| Other values (7) | 7573 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 95343 |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| a | 17855 | |
| u | 14195 | |
| m | 11159 | |
| y | 10747 | |
| j | 9569 | |
| n | 7293 | |
| l | 5430 | 5.7% |
| g | 4626 | 4.9% |
| o | 3742 | 3.9% |
| v | 3154 | 3.3% |
| Other values (7) | 7573 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 95343 |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| a | 17855 | |
| u | 14195 | |
| m | 11159 | |
| y | 10747 | |
| j | 9569 | |
| n | 7293 | |
| l | 5430 | 5.7% |
| g | 4626 | 4.9% |
| o | 3742 | 3.9% |
| v | 3154 | 3.3% |
| Other values (7) | 7573 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 95343 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| a | 17855 | |
| u | 14195 | |
| m | 11159 | |
| y | 10747 | |
| j | 9569 | |
| n | 7293 | |
| l | 5430 | 5.7% |
| g | 4626 | 4.9% |
| o | 3742 | 3.9% |
| v | 3154 | 3.3% |
| Other values (7) | 7573 |
day_of_week
Categorical
| Distinct | 5 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 1.8 MiB |
| thu | |
|---|---|
| mon | |
| wed | |
| tue | |
| fri |
Length
| Max length | 3 |
|---|---|
| Median length | 3 |
| Mean length | 3 |
| Min length | 3 |
Characters and Unicode
| Total characters | 95343 |
|---|---|
| Distinct characters | 12 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | wed |
|---|---|
| 2nd row | thu |
| 3rd row | wed |
| 4th row | tue |
| 5th row | wed |
Common Values
| Value | Count | Frequency (%) |
| thu | 6668 | |
| mon | 6600 | |
| wed | 6270 | |
| tue | 6164 | |
| fri | 6079 |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| thu | 6668 | |
| mon | 6600 | |
| wed | 6270 | |
| tue | 6164 | |
| fri | 6079 |
Most occurring characters
| Value | Count | Frequency (%) |
| t | 12832 | |
| u | 12832 | |
| e | 12434 | |
| h | 6668 | |
| m | 6600 | |
| o | 6600 | |
| n | 6600 | |
| w | 6270 | |
| d | 6270 | |
| f | 6079 | |
| Other values (2) | 12158 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 95343 |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| t | 12832 | |
| u | 12832 | |
| e | 12434 | |
| h | 6668 | |
| m | 6600 | |
| o | 6600 | |
| n | 6600 | |
| w | 6270 | |
| d | 6270 | |
| f | 6079 | |
| Other values (2) | 12158 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 95343 |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| t | 12832 | |
| u | 12832 | |
| e | 12434 | |
| h | 6668 | |
| m | 6600 | |
| o | 6600 | |
| n | 6600 | |
| w | 6270 | |
| d | 6270 | |
| f | 6079 | |
| Other values (2) | 12158 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 95343 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| t | 12832 | |
| u | 12832 | |
| e | 12434 | |
| h | 6668 | |
| m | 6600 | |
| o | 6600 | |
| n | 6600 | |
| w | 6270 | |
| d | 6270 | |
| f | 6079 | |
| Other values (2) | 12158 |
campaign
Real number (ℝ≥0)
| Distinct | 41 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 2.617192662 |
| Minimum | 1 |
|---|---|
| Maximum | 56 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 248.4 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 1 |
| median | 2 |
| Q3 | 3 |
| 95-th percentile | 7 |
| Maximum | 56 |
| Range | 55 |
| Interquartile range (IQR) | 2 |
Descriptive statistics
| Standard deviation | 2.841318166 |
|---|---|
| Coefficient of variation (CV) | 1.085635845 |
| Kurtosis | 37.03701854 |
| Mean | 2.617192662 |
| Median Absolute Deviation (MAD) | 1 |
| Skewness | 4.775101062 |
| Sum | 83177 |
| Variance | 8.073088922 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=41)
| Value | Count | Frequency (%) |
| 1 | 13269 | |
| 2 | 8264 | |
| 3 | 4151 | 13.1% |
| 4 | 2095 | 6.6% |
| 5 | 1276 | 4.0% |
| 6 | 803 | 2.5% |
| 7 | 502 | 1.6% |
| 8 | 323 | 1.0% |
| 9 | 212 | 0.7% |
| 10 | 175 | 0.6% |
| Other values (31) | 711 | 2.2% |
| Value | Count | Frequency (%) |
| 1 | 13269 | |
| 2 | 8264 | |
| 3 | 4151 | 13.1% |
| 4 | 2095 | 6.6% |
| 5 | 1276 | 4.0% |
| 6 | 803 | 2.5% |
| 7 | 502 | 1.6% |
| 8 | 323 | 1.0% |
| 9 | 212 | 0.7% |
| 10 | 175 | 0.6% |
| Value | Count | Frequency (%) |
| 56 | 1 | < 0.1% |
| 43 | 2 | |
| 42 | 2 | |
| 40 | 2 | |
| 39 | 1 | < 0.1% |
| 37 | 1 | < 0.1% |
| 35 | 3 | |
| 34 | 3 | |
| 33 | 4 | |
| 32 | 4 |
| Distinct | 25 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 961.2863031 |
| Minimum | 0 |
|---|---|
| Maximum | 999 |
| Zeros | 13 |
| Zeros (%) | < 0.1% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 248.4 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 999 |
| Q1 | 999 |
| median | 999 |
| Q3 | 999 |
| 95-th percentile | 999 |
| Maximum | 999 |
| Range | 999 |
| Interquartile range (IQR) | 0 |
Descriptive statistics
| Standard deviation | 189.8155439 |
|---|---|
| Coefficient of variation (CV) | 0.1974599485 |
| Kurtosis | 21.37517997 |
| Mean | 961.2863031 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | -4.834606347 |
| Sum | 30550640 |
| Variance | 36029.94072 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=25)
| Value | Count | Frequency (%) |
| 999 | 30574 | |
| 3 | 348 | 1.1% |
| 6 | 335 | 1.1% |
| 4 | 92 | 0.3% |
| 2 | 52 | 0.2% |
| 9 | 50 | 0.2% |
| 7 | 45 | 0.1% |
| 10 | 42 | 0.1% |
| 12 | 40 | 0.1% |
| 5 | 35 | 0.1% |
| Other values (15) | 168 | 0.5% |
| Value | Count | Frequency (%) |
| 0 | 13 | < 0.1% |
| 1 | 23 | 0.1% |
| 2 | 52 | 0.2% |
| 3 | 348 | |
| 4 | 92 | 0.3% |
| 5 | 35 | 0.1% |
| 6 | 335 | |
| 7 | 45 | 0.1% |
| 8 | 14 | < 0.1% |
| 9 | 50 | 0.2% |
| Value | Count | Frequency (%) |
| 999 | 30574 | |
| 27 | 1 | < 0.1% |
| 25 | 1 | < 0.1% |
| 22 | 3 | < 0.1% |
| 21 | 1 | < 0.1% |
| 19 | 2 | < 0.1% |
| 18 | 5 | < 0.1% |
| 17 | 8 | < 0.1% |
| 16 | 10 | < 0.1% |
| 15 | 21 | 0.1% |
| Distinct | 7 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.1798558887 |
| Minimum | 0 |
|---|---|
| Maximum | 6 |
| Zeros | 27268 |
| Zeros (%) | 85.8% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 248.4 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 0 |
| Q3 | 0 |
| 95-th percentile | 1 |
| Maximum | 6 |
| Range | 6 |
| Interquartile range (IQR) | 0 |
Descriptive statistics
| Standard deviation | 0.5024779297 |
|---|---|
| Coefficient of variation (CV) | 2.793780806 |
| Kurtosis | 18.59614723 |
| Mean | 0.1798558887 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 3.704641843 |
| Sum | 5716 |
| Variance | 0.2524840699 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=7)
| Value | Count | Frequency (%) |
| 0 | 27268 | |
| 1 | 3652 | 11.5% |
| 2 | 614 | 1.9% |
| 3 | 175 | 0.6% |
| 4 | 54 | 0.2% |
| 5 | 13 | < 0.1% |
| 6 | 5 | < 0.1% |
| Value | Count | Frequency (%) |
| 0 | 27268 | |
| 1 | 3652 | 11.5% |
| 2 | 614 | 1.9% |
| 3 | 175 | 0.6% |
| 4 | 54 | 0.2% |
| 5 | 13 | < 0.1% |
| 6 | 5 | < 0.1% |
| Value | Count | Frequency (%) |
| 6 | 5 | < 0.1% |
| 5 | 13 | < 0.1% |
| 4 | 54 | 0.2% |
| 3 | 175 | 0.6% |
| 2 | 614 | 1.9% |
| 1 | 3652 | 11.5% |
| 0 | 27268 |
| Distinct | 3 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 2.0 MiB |
| nonexistent | |
|---|---|
| failure | |
| success | 1095 |
Length
| Max length | 11 |
|---|---|
| Median length | 11 |
| Mean length | 10.43198767 |
| Min length | 7 |
Characters and Unicode
| Total characters | 331539 |
|---|---|
| Distinct characters | 13 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | nonexistent |
|---|---|
| 2nd row | nonexistent |
| 3rd row | nonexistent |
| 4th row | nonexistent |
| 5th row | nonexistent |
Common Values
| Value | Count | Frequency (%) |
| nonexistent | 27268 | |
| failure | 3418 | 10.8% |
| success | 1095 | 3.4% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| nonexistent | 27268 | |
| failure | 3418 | 10.8% |
| success | 1095 | 3.4% |
Most occurring characters
| Value | Count | Frequency (%) |
| n | 81804 | |
| e | 59049 | |
| t | 54536 | |
| i | 30686 | 9.3% |
| s | 30553 | 9.2% |
| o | 27268 | 8.2% |
| x | 27268 | 8.2% |
| u | 4513 | 1.4% |
| f | 3418 | 1.0% |
| a | 3418 | 1.0% |
| Other values (3) | 9026 | 2.7% |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 331539 |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| n | 81804 | |
| e | 59049 | |
| t | 54536 | |
| i | 30686 | 9.3% |
| s | 30553 | 9.2% |
| o | 27268 | 8.2% |
| x | 27268 | 8.2% |
| u | 4513 | 1.4% |
| f | 3418 | 1.0% |
| a | 3418 | 1.0% |
| Other values (3) | 9026 | 2.7% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 331539 |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| n | 81804 | |
| e | 59049 | |
| t | 54536 | |
| i | 30686 | 9.3% |
| s | 30553 | 9.2% |
| o | 27268 | 8.2% |
| x | 27268 | 8.2% |
| u | 4513 | 1.4% |
| f | 3418 | 1.0% |
| a | 3418 | 1.0% |
| Other values (3) | 9026 | 2.7% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 331539 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| n | 81804 | |
| e | 59049 | |
| t | 54536 | |
| i | 30686 | 9.3% |
| s | 30553 | 9.2% |
| o | 27268 | 8.2% |
| x | 27268 | 8.2% |
| u | 4513 | 1.4% |
| f | 3418 | 1.0% |
| a | 3418 | 1.0% |
| Other values (3) | 9026 | 2.7% |
| Distinct | 10 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.05942229634 |
| Minimum | -3.4 |
|---|---|
| Maximum | 1.4 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 13447 |
| Negative (%) | 42.3% |
| Memory size | 248.4 KiB |
Quantile statistics
| Minimum | -3.4 |
|---|---|
| 5-th percentile | -2.9 |
| Q1 | -1.8 |
| median | 1.1 |
| Q3 | 1.4 |
| 95-th percentile | 1.4 |
| Maximum | 1.4 |
| Range | 4.8 |
| Interquartile range (IQR) | 3.2 |
Descriptive statistics
| Standard deviation | 1.578632405 |
|---|---|
| Coefficient of variation (CV) | 26.5663312 |
| Kurtosis | -1.095635253 |
| Mean | 0.05942229634 |
| Median Absolute Deviation (MAD) | 0.3 |
| Skewness | -0.7005239061 |
| Sum | 1888.5 |
| Variance | 2.49208027 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) |
| 1.4 | 12276 | |
| -1.8 | 7171 | |
| 1.1 | 6058 | |
| -0.1 | 2817 | 8.9% |
| -2.9 | 1289 | 4.1% |
| -3.4 | 874 | 2.8% |
| -1.7 | 630 | 2.0% |
| -1.1 | 515 | 1.6% |
| -3 | 141 | 0.4% |
| -0.2 | 10 | < 0.1% |
| Value | Count | Frequency (%) |
| -3.4 | 874 | 2.8% |
| -3 | 141 | 0.4% |
| -2.9 | 1289 | 4.1% |
| -1.8 | 7171 | |
| -1.7 | 630 | 2.0% |
| -1.1 | 515 | 1.6% |
| -0.2 | 10 | < 0.1% |
| -0.1 | 2817 | 8.9% |
| 1.1 | 6058 | |
| 1.4 | 12276 |
| Value | Count | Frequency (%) |
| 1.4 | 12276 | |
| 1.1 | 6058 | |
| -0.1 | 2817 | 8.9% |
| -0.2 | 10 | < 0.1% |
| -1.1 | 515 | 1.6% |
| -1.7 | 630 | 2.0% |
| -1.8 | 7171 | |
| -2.9 | 1289 | 4.1% |
| -3 | 141 | 0.4% |
| -3.4 | 874 | 2.8% |
| Distinct | 26 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 93.57488691 |
| Minimum | 92.201 |
|---|---|
| Maximum | 94.767 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 248.4 KiB |
Quantile statistics
| Minimum | 92.201 |
|---|---|
| 5-th percentile | 92.649 |
| Q1 | 93.075 |
| median | 93.749 |
| Q3 | 93.994 |
| 95-th percentile | 94.465 |
| Maximum | 94.767 |
| Range | 2.566 |
| Interquartile range (IQR) | 0.919 |
Descriptive statistics
| Standard deviation | 0.5835192519 |
|---|---|
| Coefficient of variation (CV) | 0.006235853134 |
| Kurtosis | -0.8492803378 |
| Mean | 93.57488691 |
| Median Absolute Deviation (MAD) | 0.45 |
| Skewness | -0.2315337177 |
| Sum | 2973903.481 |
| Variance | 0.3404947173 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=26)
| Value | Count | Frequency (%) |
| 93.994 | 6058 | |
| 93.918 | 5035 | |
| 92.893 | 4522 | |
| 93.444 | 3823 | |
| 94.465 | 3418 | |
| 93.2 | 2769 | |
| 93.075 | 1929 | 6.1% |
| 92.201 | 604 | 1.9% |
| 92.963 | 544 | 1.7% |
| 92.431 | 371 | 1.2% |
| Other values (16) | 2708 |
| Value | Count | Frequency (%) |
| 92.201 | 604 | 1.9% |
| 92.379 | 220 | 0.7% |
| 92.431 | 371 | 1.2% |
| 92.469 | 141 | 0.4% |
| 92.649 | 283 | 0.9% |
| 92.713 | 141 | 0.4% |
| 92.756 | 10 | < 0.1% |
| 92.843 | 210 | 0.7% |
| 92.893 | 4522 | |
| 92.963 | 544 | 1.7% |
| Value | Count | Frequency (%) |
| 94.767 | 102 | 0.3% |
| 94.601 | 169 | 0.5% |
| 94.465 | 3418 | |
| 94.215 | 254 | 0.8% |
| 94.199 | 244 | 0.8% |
| 94.055 | 177 | 0.6% |
| 94.027 | 199 | 0.6% |
| 93.994 | 6058 | |
| 93.918 | 5035 | |
| 93.876 | 167 | 0.5% |
| Distinct | 26 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | -40.50062301 |
| Minimum | -50.8 |
|---|---|
| Maximum | -26.9 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 31781 |
| Negative (%) | 100.0% |
| Memory size | 248.4 KiB |
Quantile statistics
| Minimum | -50.8 |
|---|---|
| 5-th percentile | -47.1 |
| Q1 | -42.7 |
| median | -41.8 |
| Q3 | -36.4 |
| 95-th percentile | -33 |
| Maximum | -26.9 |
| Range | 23.9 |
| Interquartile range (IQR) | 6.3 |
Descriptive statistics
| Standard deviation | 4.662366193 |
|---|---|
| Coefficient of variation (CV) | -0.115118382 |
| Kurtosis | -0.3426941524 |
| Mean | -40.50062301 |
| Median Absolute Deviation (MAD) | 4.4 |
| Skewness | 0.3176004728 |
| Sum | -1287150.3 |
| Variance | 21.73765852 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=26)
| Value | Count | Frequency (%) |
| -36.4 | 6058 | |
| -42.7 | 5035 | |
| -46.2 | 4522 | |
| -36.1 | 3823 | |
| -41.8 | 3418 | |
| -42 | 2769 | |
| -47.1 | 1929 | 6.1% |
| -31.4 | 604 | 1.9% |
| -40.8 | 544 | 1.7% |
| -26.9 | 371 | 1.2% |
| Other values (16) | 2708 |
| Value | Count | Frequency (%) |
| -50.8 | 102 | 0.3% |
| -50 | 210 | 0.7% |
| -49.5 | 169 | 0.5% |
| -47.1 | 1929 | 6.1% |
| -46.2 | 4522 | |
| -45.9 | 10 | < 0.1% |
| -42.7 | 5035 | |
| -42 | 2769 | |
| -41.8 | 3418 | |
| -40.8 | 544 | 1.7% |
| Value | Count | Frequency (%) |
| -26.9 | 371 | 1.2% |
| -29.8 | 220 | 0.7% |
| -30.1 | 283 | 0.9% |
| -31.4 | 604 | 1.9% |
| -33 | 141 | 0.4% |
| -33.6 | 141 | 0.4% |
| -34.6 | 141 | 0.4% |
| -34.8 | 202 | 0.6% |
| -36.1 | 3823 | |
| -36.4 | 6058 |
| Distinct | 312 |
|---|---|
| Distinct (%) | 1.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 3.595823322 |
| Minimum | 0.634 |
|---|---|
| Maximum | 5.045 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 248.4 KiB |
Quantile statistics
| Minimum | 0.634 |
|---|---|
| 5-th percentile | 0.781 |
| Q1 | 1.334 |
| median | 4.857 |
| Q3 | 4.961 |
| 95-th percentile | 4.966 |
| Maximum | 5.045 |
| Range | 4.411 |
| Interquartile range (IQR) | 3.627 |
Descriptive statistics
| Standard deviation | 1.743983254 |
|---|---|
| Coefficient of variation (CV) | 0.485002487 |
| Kurtosis | -1.449378046 |
| Mean | 3.595823322 |
| Median Absolute Deviation (MAD) | 0.108 |
| Skewness | -0.6795575967 |
| Sum | 114278.861 |
| Variance | 3.04147759 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 4.857 | 2261 | 7.1% |
| 4.962 | 1933 | 6.1% |
| 4.963 | 1852 | 5.8% |
| 4.961 | 1460 | 4.6% |
| 4.856 | 942 | 3.0% |
| 1.405 | 922 | 2.9% |
| 4.964 | 853 | 2.7% |
| 4.864 | 816 | 2.6% |
| 4.965 | 792 | 2.5% |
| 4.96 | 788 | 2.5% |
| Other values (302) | 19162 |
| Value | Count | Frequency (%) |
| 0.634 | 6 | < 0.1% |
| 0.635 | 32 | |
| 0.636 | 11 | < 0.1% |
| 0.637 | 3 | < 0.1% |
| 0.638 | 4 | < 0.1% |
| 0.639 | 12 | < 0.1% |
| 0.64 | 8 | < 0.1% |
| 0.642 | 31 | |
| 0.643 | 17 | |
| 0.644 | 28 |
| Value | Count | Frequency (%) |
| 5.045 | 6 | < 0.1% |
| 5 | 6 | < 0.1% |
| 4.97 | 127 | 0.4% |
| 4.968 | 751 | 2.4% |
| 4.967 | 492 | 1.5% |
| 4.966 | 459 | 1.4% |
| 4.965 | 792 | |
| 4.964 | 853 | |
| 4.963 | 1852 | |
| 4.962 | 1933 |
| Distinct | 11 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 5165.756257 |
| Minimum | 4963.6 |
|---|---|
| Maximum | 5228.1 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 248.4 KiB |
Quantile statistics
| Minimum | 4963.6 |
|---|---|
| 5-th percentile | 5008.7 |
| Q1 | 5099.1 |
| median | 5191 |
| Q3 | 5228.1 |
| 95-th percentile | 5228.1 |
| Maximum | 5228.1 |
| Range | 264.5 |
| Interquartile range (IQR) | 129 |
Descriptive statistics
| Standard deviation | 72.89091897 |
|---|---|
| Coefficient of variation (CV) | 0.01411040617 |
| Kurtosis | -0.0629989876 |
| Mean | 5165.756257 |
| Median Absolute Deviation (MAD) | 37.1 |
| Skewness | -1.020757323 |
| Sum | 164172899.6 |
| Variance | 5313.086068 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=11)
| Value | Count | Frequency (%) |
| 5228.1 | 12276 | |
| 5099.1 | 6661 | |
| 5191 | 6058 | |
| 5195.8 | 2817 | 8.9% |
| 5076.2 | 1289 | 4.1% |
| 5017.5 | 874 | 2.8% |
| 4991.6 | 630 | 2.0% |
| 4963.6 | 515 | 1.6% |
| 5008.7 | 510 | 1.6% |
| 5023.5 | 141 | 0.4% |
| Value | Count | Frequency (%) |
| 4963.6 | 515 | 1.6% |
| 4991.6 | 630 | 2.0% |
| 5008.7 | 510 | 1.6% |
| 5017.5 | 874 | 2.8% |
| 5023.5 | 141 | 0.4% |
| 5076.2 | 1289 | 4.1% |
| 5099.1 | 6661 | |
| 5176.3 | 10 | < 0.1% |
| 5191 | 6058 | |
| 5195.8 | 2817 |
| Value | Count | Frequency (%) |
| 5228.1 | 12276 | |
| 5195.8 | 2817 | 8.9% |
| 5191 | 6058 | |
| 5176.3 | 10 | < 0.1% |
| 5099.1 | 6661 | |
| 5076.2 | 1289 | 4.1% |
| 5023.5 | 141 | 0.4% |
| 5017.5 | 874 | 2.8% |
| 5008.7 | 510 | 1.6% |
| 4991.6 | 630 | 2.0% |
Pearson's r
The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
Spearman's ρ
The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
Kendall's τ
Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
Phik (φk)
Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.Cramér's V (φc)
Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here. A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
First rows
| df_index | age | job | marital | education | default | housing | loan | contact | month | day_of_week | campaign | pdays | previous | poutcome | emp.var.rate | cons.price.idx | cons.conf.idx | euribor3m | nr.employed | y | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 0 | 41 | technician | married | basic.9y | no | no | no | telephone | may | wed | 1 | 999 | 0 | nonexistent | 1.1 | 93.994 | -36.4 | 4.859 | 5191.0 | no |
| 1 | 1 | 51 | services | single | high.school | unknown | yes | no | telephone | may | thu | 4 | 999 | 0 | nonexistent | 1.1 | 93.994 | -36.4 | 4.860 | 5191.0 | no |
| 2 | 2 | 63 | retired | married | unknown | no | yes | no | telephone | apr | wed | 1 | 999 | 0 | nonexistent | -1.8 | 93.075 | -47.1 | 1.445 | 5099.1 | yes |
| 3 | 3 | 42 | blue-collar | married | basic.9y | unknown | yes | no | cellular | may | tue | 6 | 999 | 0 | nonexistent | -1.8 | 92.893 | -46.2 | 1.291 | 5099.1 | no |
| 4 | 4 | 42 | technician | married | university.degree | no | no | no | cellular | jul | wed | 3 | 999 | 0 | nonexistent | 1.4 | 93.918 | -42.7 | 4.963 | 5228.1 | no |
| 5 | 5 | 32 | management | single | university.degree | no | yes | no | cellular | mar | mon | 2 | 999 | 1 | failure | -1.8 | 92.843 | -50.0 | 1.703 | 5099.1 | no |
| 6 | 6 | 47 | admin. | married | university.degree | no | no | no | cellular | aug | mon | 1 | 999 | 0 | nonexistent | 1.4 | 93.444 | -36.1 | 4.965 | 5228.1 | no |
| 7 | 7 | 32 | admin. | single | high.school | no | yes | no | telephone | jul | fri | 3 | 999 | 0 | nonexistent | 1.4 | 93.918 | -42.7 | 4.962 | 5228.1 | no |
| 8 | 8 | 40 | technician | married | professional.course | no | no | no | telephone | jun | fri | 1 | 999 | 0 | nonexistent | 1.4 | 94.465 | -41.8 | 4.967 | 5228.1 | no |
| 9 | 9 | 47 | services | married | high.school | no | yes | no | cellular | nov | wed | 1 | 999 | 0 | nonexistent | -0.1 | 93.200 | -42.0 | 4.120 | 5195.8 | no |
Last rows
| df_index | age | job | marital | education | default | housing | loan | contact | month | day_of_week | campaign | pdays | previous | poutcome | emp.var.rate | cons.price.idx | cons.conf.idx | euribor3m | nr.employed | y | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 31771 | 32939 | 46 | housemaid | single | basic.9y | unknown | no | no | cellular | may | wed | 2 | 999 | 1 | failure | -1.8 | 92.893 | -46.2 | 1.281 | 5099.1 | no |
| 31772 | 32940 | 41 | technician | single | university.degree | no | yes | no | cellular | aug | thu | 1 | 999 | 0 | nonexistent | 1.4 | 93.444 | -36.1 | 4.964 | 5228.1 | no |
| 31773 | 32941 | 33 | blue-collar | married | basic.9y | no | yes | no | telephone | jun | wed | 1 | 999 | 0 | nonexistent | 1.4 | 94.465 | -41.8 | 4.959 | 5228.1 | no |
| 31774 | 32942 | 33 | admin. | single | university.degree | no | yes | no | cellular | aug | tue | 6 | 999 | 0 | nonexistent | 1.4 | 93.444 | -36.1 | 4.963 | 5228.1 | no |
| 31775 | 32943 | 34 | technician | single | university.degree | no | no | no | cellular | may | tue | 2 | 999 | 0 | nonexistent | -1.8 | 92.893 | -46.2 | 1.266 | 5099.1 | no |
| 31776 | 32944 | 45 | admin. | married | university.degree | no | yes | no | cellular | sep | fri | 1 | 999 | 2 | failure | -3.4 | 92.379 | -29.8 | 0.741 | 5017.5 | no |
| 31777 | 32946 | 48 | blue-collar | married | basic.9y | no | no | no | telephone | may | mon | 1 | 999 | 0 | nonexistent | 1.1 | 93.994 | -36.4 | 4.858 | 5191.0 | yes |
| 31778 | 32947 | 30 | blue-collar | married | basic.9y | no | no | no | telephone | nov | tue | 1 | 999 | 0 | nonexistent | -0.1 | 93.200 | -42.0 | 4.700 | 5195.8 | yes |
| 31779 | 32948 | 44 | self-employed | married | professional.course | no | yes | no | telephone | aug | wed | 5 | 999 | 0 | nonexistent | 1.4 | 93.444 | -36.1 | 4.967 | 5228.1 | no |
| 31780 | 32949 | 24 | services | single | high.school | no | no | no | cellular | jun | wed | 1 | 999 | 0 | nonexistent | -2.9 | 92.963 | -40.8 | 1.260 | 5076.2 | no |